A method for routing in wireless sensor networks in the Internet of Things to reduce energy consumption

Wireless sensor networks consist of a large number of sensor nodes scattered in a geographically limited area. The main challenge of these networks is the energy limitation. Clustering is a well-known solution to save energy and increase network lifetime. In most of the methods presented in each period, the arrangement of clusters and cluster heads is changed to increase the lifetime of the network, which imposes high energy consumption on the cluster heads. The Internet of Things can manage the devices around us through the applications available in smart phones, tablets, home computers, etc. Thus, wireless sensor networks can play a major role in promoting this cheap and easy network to connect to smart devices. Information transfer is a challenging issue due to the heterogeneous environment of the Internet of Things, and the use of routing methods considering the limitations of processing and communication is known to be necessary. So far, Many algorithms have been introduced for special applications in the field of wireless sensor networks and Internet of Things. Each of them has been successful to access the right routing. Some proposed algorithms have used tree structure to collect network information. In this research, firstly, a literature review is done and Internet of Things routing is described, and then a service quality-aware routing method based on fuzzy system is proposed. The simulation and evaluation results show that the proposed method has improved ۱۹% in energy efficiency tests, ۴۹% in delay rate and ۷.۷% in packet delivery rate